- مبلغ: ۸۶,۰۰۰ تومان
- مبلغ: ۹۱,۰۰۰ تومان
Conventional VAR compensation devices such as capacitor banks and synchronous condensers, after long periods of service, have become aged and less effective to satisfy stringent requirement of short-term voltage stability in high-level wind power penetrated power systems. STATCOMs with a rapid and dynamic reactive power support capability can be an ideal alternative, when combined with a proper equipment retirement and upgrades scheme. This paper proposes a systematic approach for optimal dynamic VAR resource planning and upgrading for a power system with increased wind power penetration and equipment retirement. The problem is constituted by two parts which are aged equipment retirement and new equipment placement. A multi-objective optimization model is proposed to minimize three objectives: 1) the cost of retirement and upgrades, 2) the index of proximity to steady state voltage collapse, and 3) the index of transient voltage unaccepted performance. To simulate real-world operating situation, multiple contingencies and uncertain dynamic load models are taken into account. Furthermore, Low and High Voltage Ride Through abilities for wind farms are modeled. The proposed model is tested on the New England 39-bus test system.
VI. CONCLUSION AND FUTURE WORK
This paper addresses a multi-stage planning for aged equipment retirement and STATCOM placement to enhance steady-state stability, short-term voltage stability, and voltage ride through capabilities of wind turbines under dynamic load scenarios. The problem is formulating as a multi-objective multi-stage upgrade optimization with three conflict objectives under various constraints. The proposed model has these advantages: 1) it insightfully combines the retirement planning and construction planning for the first time 2) it proposes a multi-stage planning method with upgrade decisions 3) a wind turbine is applied in the test system, and voltage ride through capabilities are modified as two constraints 4) dynamic loads sceanrios are proposed in the system, which is closer to the reality. In the future, the planning model can integrate with non-network solutions from operators’ perspective and more computationally efficient solution algorihtms will be developed.