Áp dụng các thuật toán dựa trên tìm kiếm bầy đàn để tính toán điều độ tối ưu trong hệ thống điện có xét đến nguồn năng lượng gió (luận văn, luận án (theses))

ĐẠI HỌC TRƢỜNG QUỐC HỒGIA CHÍTP MINH ĐẠI HỌC BÁCH KHOA LÊ ANH DŨNG ÁP DỤNG CÁC THUẬT TOÁN DỰA TRÊN ĐÀN ĐỂ TÍNH ĐI ỀU TỐN Ộ ĐTỐI ƢU TRONG ỆTHỐNG H ĐI ỆN CÓ XÉT ẾN NGUỒ Đ N NĂNGỢNG LƢ GIĨ LUẬN ÁN TP HỒCHÍ TIẾN HUẬT SĨ MINH NĂM KỸ T 201 ĐẠI HỌC TRƢỜNG QUỐC HỒGIA CHÍTP MINH ĐẠI HỌC BÁCH KHOA LÊ ANH DŨNG ÁP DỤNG CÁC THUẬT TOÁN DỰA TRÊN ĐÀN ĐỂ TÍNH ĐI ỀU TỐN Ộ ĐTỐI ƢU TRONG ỆTHỐNG H ĐI ỆN CÓ XÉT ẾN NGUỒ Đ N NĂNGỢNG LƢ GIÓ Chuyên ngành: Mạng hệ thống điện Mã số chuyên ngành: 62525005 NGƢỜI HƢỚNG DẪN KHOA HỌC PGS-TS Võ Ngọc Điều TS Đinh Hoàng Bách TP HỒ CHÍ MINH9 NĂM 201 ĐẠI HỌC QUỐC HỒ GIA CHÍ TP MINH TRƢỜNG ĐẠI HỌC KHOA BÁCH LÊ ANH DŨNG ÁP DỤNG CÁC THUẬT TỐN DỰA TRÊN ĐÀN ĐỂ TÍNH ĐI ỀU TOÁN Ộ ĐTỐI ƢU TRONG ỆTHỐNG H ĐI ỆN CÓ XÉT ẾN NGUỒ Đ N NĂNGỢNG LƢ GIÓ Chuyên ngành: Mạng hệ thống điện Mã số chuyên ngành: 62525005 Phản Phản biện GS-TS độc Lê Kim lập Hùng 1: biện PGS-TS độc Quyền lập 2: Huy Phản Phản Phản biện PGS-TS Võ 1: Viết ng Cƣờ biện TS Nguyễn 2: Trung Nhân biện PGS-TS Phạm 3: Đình Anh Khôi Ánh NGƢỜI HƢỚNG DẪN KHOA HỌC PGS-TS Võ Ngọc Điều TS Đinh Hồng Bách TP.HỒ CHÍ MINH9 NĂM 201 LỜI CAM Tôi kết từ xin Trong Tác Lê cam luận đoan án báo làcáo công bất nghiên kỳ cứu nguồn trình kết nghiên ệc cứu thamnày, khảovi ghi nguồn tài qui định liệu tham giả Anh ĐOAN Dũng i nghiên luận dƣới bất nguồn khảo kỳ tài h li TÓM Hiện thị điểm, Việt nƣớc Một phải tính TẮT LUẬN trƣờng Nam điện đƣợc ÁN đang yếu đƣợc bắt tố đầu quan nhiề hình trọng phụ tải gia phát điện trƣớc Hơnkhi nữa, tham hệ cần đến yếu công kh côngNMPĐ suất giá phátthành điện tố quan suất kháng phản để hệ lƣợng ngày trọng thống phát nhƣ: điện t n thố tối với c Năng lƣợng tái làm gió tạo lƣợng thay không đƣợc sử dụng nh ô nnhiễm chi phí nhiên mơi liệu, trƣờng n gió u tƣ cócao chivà phí hành đầtham hệ gia thống đổi chế độ vận nghiên cứu tập trung hành đặc bi điện Do thống điện (ED), điều phản kháng (ORPD) hệ thống theo yêu tối thất công chọn định điện kiế m bầ y ƣu phân ƣu truyền suất tải thấp, áp, đƣờng nhà n má dây, nâng Từ cao kết h ổn đƣợc định tín lự đ nhà suất máy tối phát có ƣu, cơng giá báo công suất bán truyền điện tải, thấ tổn ề cáo trình chun bày áp dụng thành đ cơng phƣơng áp tìmph đàn cho tốn tối ƣu ới v hàm sốchuẩ n, từđóựa chọ l n thông số cáo ề2chuyên tiế p tụ c phát triể đ n đàn giả i toán tối ƣu Trong phƣơng ế m bầ y pháp đàn ểáp dụ tìm ng đ giả i tốn ED, OPF ORPD cho hệthống ệ nđi chuẩ n IEEE 30 nút khơng có tham gia bố cầu 24 trƣớc phụ tải Các phát điện tốn tính giải cài ặ t tố tđ nhấ t cho phƣơngtìm pháp kiế m bầ y báo tối điện nhàcó máy sự(NMĐG điện tham ) gió gi u cơng cầu chính: suất phát suất Trong độ giải điều độ kinh c ợng gió,lƣ lậ p trình sửdụ ng phầ n mề m Matlab Từcác kế t quảcủa ii ki chuyên ề1 đ tìm kiế m bầ y chuyên ề2, nghiên cứu đ tiế p tục thực hiệ n áp dụ ng phƣơng đàn ểgiả i đ toán ED, OPF ORPD cho hệthống ệ nđi chuẩ n IEEE 30 nút có sựtham gia NMĐG ầ u phụ yêu tả i 24 c Kế t quảsau tính tốn có so sánh với kế t quảcủa nghiên cứu ợ đƣ c cơng bốtrong ngồi c vậ n hành tối hệ ƣu thố ngệ nđi có sựtham gia NMĐG Nghiên cứu khoa học gồm phầ n sau: Chƣơng 1: Mở đầu Chƣơng quan 2: T Chƣơng : Các phƣơngế m pháp tối ƣu tìm ki Chƣơng Đi ề u4: ộđ kinh tếtrong hệthố ngệ n.đi Chƣơng Phân bố 5: tố i ƣu ấ công t hệthố su ngệ n.đi Chƣơng : ề u Đi ộđ tối ƣu ấ công t phả n kháng su hệthốngệ n.đi Chƣơng 7: Kế t luậ n ớng hƣ phát triể n iii n ABSTRACT Electricity deregulation is a popular issue of developed countries Vietnam will operate electricity deregulation in near future years The important problems in power deregulation system operation are power output of generations, load demands, cost of generators, power loss, power flow with compulsive constraints in system Three main subjects relate to this problems which are economic dispatch (ED), optimization power flow (OPF) and optimization reactive power dispatch (ORPD) Moreover, operational parameters of electricity system should calculate 24 hours load before a day, because power load can change following hours per day Although wind farms have high investment cost however, wind energy has many advantages characteristics such as environmental friendly, non-emission, non-fuel operation In future, Vietnam should build many new wind farms because Vietnamese geography position has long beach and convenient weather condition to build wind farms The targets of this research solve three problems about operational optimization of power system with wind farm and 24 hours load demand Three problems are economic dispatch, optimization power flow and optimization reactive power dispatch The research find out particle swarm optimization algorithms which can solve these problems with the best results which are power output of thermal generators, power output of wind turbines, minimum operation cost of thermal power plants and wind farms, 24 hours load demand, power flow, voltage of all bus in system, capacity of capacitor banks, minimum power loss and voltage stability index increasing The research reports four particle swarm optimization algorithms to solve ED, OPF and ORPD problems Four algorithms are particle swarm optimization time varying acceleration coefficients (PSO-TVAC), pseudo gradient particle swarm optimization (PG-PSO), pseudo gradient particle swarm optimization constriction factor (PGPSOCF) and cuckoo search (CS) These algorithms can help to solve ED, OPF, ORPD problems of power system with wind farms connecting and supply 24 hours load demand Combination of these methods and Matlab programming calculate the IEEE iv 30 bus system with wind farm Final results also are compared to scientific reports in international technique journals Chapter introduces the subject of the research Chapter reviews former reports about power system optimization and algorithms in solving ED, OPF and ORPD problems in power system In chapter 2, give assessment, comparison and definition for researching direction Chapter shows particle swarm optimization methods such as PSO-TVAC, PG-PSOCF and CS This chapter details setting parameters for these methods to program exactly and best results Chapter presents and draws the PSO, PSO improvement, CS flowcharts Chapter collects 24 hours wind data from Phuyen province –Vietnam and builds wind power function, wind cost function following wind speed This chapter programs ED problem by IEEE 30 bus system with wind farm connecting The result of ED problem was compared and analyzed to select the best method From wind data and wind cost function of chapter 4, chapter and chapter continue to program and show the results OPF and ORPD problems of IEEE 30 bus system with wind farm combination The results of OPF and OPRD problems have been assessed and compare with scientific public report Chapter generalizes all content of this research and analyzes results in chapter 4, and chapter In this chapter, includes particle swarm optimization algorithms application in ED, OPF and ORPD in Vietnam power system and larger electricity system in future The author would like to thank Associate Professor –Doctor Dieu Ngoc Vo, Doctor Bach Hoang Dinh, all Lecturers and Staffs of Hochiminh City University of Technology for advice and support during my study period and this thesis completion v LỜI Tôi xin chân Bách khảo tận thống Minh Tơi tình tài trao Trƣờng hƣớng Đại dẫn Thành chuyên xin giúp ngành trân đỡ Bách Khoa tác Thành t trọng cảm Khoa án -Phòng phố Hồ Ch khảo n theobiểu i định, đúngmẫu qu biên nhƣ s cơng hồn thànhtác báo liên cáo luận quan án để phố sƣ Điều, đổi ề u ý kiến đóng hồn q góp thành giá nhi này.đểluận tham Sau sinh giáo Ngọc - Trƣờng Khoa Điện Đại học ĐiệnBách tử học cứu Tơi q dẫn xin Q Thầy cảm ơn Cô công Khoa hƣớng liệu điện ƠN thành -Tiến cảm ơn sĩPhó Võ luận án a củ tơi Hệ CẢM Hồ xin chân thành Chí Minh Trƣờng vi biết dạy dỗ ơn MỤC LỤC DANH MỤC CÁC HÌNH VẼ x DANH MỤC CÁC BẢNG BIỂU xii DANH MỤC CÁC xiii LƢU ĐỒ ́ ́ DANHMỤCCÁCTỪ VI Ê TTĂ T xiv DANH MỤC CÁC KÝ HIỆU xvi CHƢƠNG MỞ1 ĐẦU 1.1 Lý chọn đề tài 1.2 Mục đíchu nghiên 1.3 Đối tƣợng 1.3.1 1.3.2 phạm vi nghiên cứu Đối tƣợng nghiên cứu Phạm vi nghiên cứu 1.4 Phƣơng pháp nghiên cứu CHƢƠNG TỔNG QUAN 2.1 Giới thiệu 2.2 Thuật 2.3 Tua 2.3.1 bin 2.6 Các độ tối Điều Điều Điều 2.5 Điều 2.5.1 2.5.2 2.5.3 gió tìm kiếm bầy đàn tối tiềm điện gió ƣu Vi Tua bin gió 2.4 Điều 2.4.1 2.4.2 2.4.3 toán độ độ độ độ ƣu hệ thống điện kinh tế hệ thống điện8 phân bố tối ƣu công suất 10 tối ƣu công suất phản 15 khán tối Điều Điều Điều độ độ độ ƣu hệ thống điện có 18 tham g kinh tế có tham gia 19 NM phân bố tối ƣu công suất 24 c tối ƣu công suất phản 29 khán khiếm khắc khuyết phục cần 32 2.7 Kết luận chƣơng 34 CHƢƠNG CÁC PHƢƠNG 3.1 Tối ƣu hoá bầy đàn (PSO) 35 3.2 Các bƣớc xây PHÁP TÌM KIẾM TỐI 35ƢU dựng thuật toán PSO37 3.3 Cá cph ƣơngp h a pPSOc ả it i ế n 37 ́ 3.3.1 3.3.2 3.3.3 Phƣơng pháp Phƣơng pháp Phƣơng pháp 3.4 Phƣơng pháp PSO PSO PSO với hệ số -TVAC gia 38 tốc với - Gradient) gradient 41giả P với hệ số giới 43 hạn chim tu hú (Cuckoo Search) 46 vii [42] L D 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BÁCH KHOA LÊ ANH DŨNG ÁP DỤNG CÁC THUẬT TOÁN DỰA TRÊN ĐÀN ĐỂ TÍNH ĐI ỀU TỐN Ộ ĐTỐI ƢU TRONG ỆTHỐNG H ĐI ỆN CÓ XÉT ẾN NGUỒ Đ N NĂNGỢNG LƢ GIÓ Chuyên ngành: Mạng hệ thống điện Mã số chuyên ngành:... thành hệ và độ liên để hệ thống tính điệ tốn v dùng hỗ mộtcủ trợ a sốmáy thuật tính t thống điện tốn hệ thống điện làvận đónghàn giải vậnpháp hành ệ thống đểh tính điện, sở tối so từ ƣu sán đƣa có. .. tổng số hệ thống đƣờng dây Nw tổng số tua bin gió Nd tổng số nút tải hệ thống 2.5.2.2 Các thuật toán áp dụng giả i toán OPF có NMĐG Tƣơng tạo tự hầu tốn hết ED phƣơng pháp áp dụn tối n để ƣu tính